Articles | Volume 12, issue 4
Earth Syst. Sci. Data, 12, 2517–2536, 2020
https://doi.org/10.5194/essd-12-2517-2020
Earth Syst. Sci. Data, 12, 2517–2536, 2020
https://doi.org/10.5194/essd-12-2517-2020

Data description paper 16 Oct 2020

Data description paper | 16 Oct 2020

Apparent ecosystem carbon turnover time: uncertainties and robust features

Naixin Fan et al.

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Cited articles

Avitabile, V., Herold, M., Heuvelink, G., Lewis, S. L., Phillips, O. L., Asner, G. P., Armston, J., Ashton, P. S., Banin, L., and Bayol, N.: An integrated pan-tropical biomass map using multiple reference datasets, Glob. Change Biol., 22, 1406–1420, https://doi.org/10.1111/gcb.13139, 2016. 
Baccini, A., Goetz, S., Walker, W., Laporte, N., Sun, M., Sulla-Menashe, D., Hackler, J., Beck, P., Dubayah, R., and Friedl, M.: Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps, Nat. Clim. Change, 2, 182–185, 2012. 
Barrett, D. J.: Steady state turnover time of carbon in the Australian terrestrial biosphere, Global Biogeochem. Cy., 16, 55-1–55-21, 2002. 
Batjes, N.: Harmonized soil property values for broad-scale modelling (WISE30sec) with estimates of global soil carbon stocks, Geoderma, 269, 61–68, 2016. 
Batjes, N. H., Ribeiro, E., and van Oostrum, A.: Standardised soil profile data to support global mapping and modelling (WoSIS snapshot 2019), Earth Syst. Sci. Data, 12, 299–320, https://doi.org/10.5194/essd-12-299-2020, 2020. 
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Short summary
The turnover time of terrestrial carbon (τ) controls the global carbon cycle–climate feedback. In this study, we provide a new, updated ensemble of diagnostic terrestrial carbon turnover times and associated uncertainties on a global scale. Despite the large variation in both magnitude and spatial patterns of τ, we identified robust features in the spatial patterns of τ which could contribute to uncertainty reductions in future projections of the carbon cycle–climate feedback.